MIDL 2021

 
International Conference on
Medical Imaging with Deep Learning
5. bis 7. Juli 2021

Chronological Registration of OCT and Autofluorescence Findings in CSCR: Two Distinct Patterns in Disease Course

TitelChronological Registration of OCT and Autofluorescence Findings in CSCR: Two Distinct Patterns in Disease Course
Publication TypeJournal Article
Year of Publication2022
AuthorsSantarossa M., Tatli A., von der Burchard C., Andresen J., Roider J., Handels H., Koch R.
JournalDiagnostics
Volume12
Issue8
Pages1780
Date Published8/2022
Publication Languageeng
ISSN2075-4418
Abstract

Optical coherence tomography (OCT) and fundus autofluorescence (FAF) are important imaging modalities for the assessment and prognosis of central serous chorioretinopathy (CSCR). However, setting the findings from both into spatial and temporal contexts as desirable for disease analysis remains a challenge due to both modalities being captured in different perspectives: sparse three-dimensional (3D) cross sections for OCT and two-dimensional (2D) en face images for FAF. To bridge this gap, we propose a visualisation pipeline capable of projecting OCT labels to en face image modalities such as FAF. By mapping OCT B-scans onto the accompanying en face infrared (IR) image and then registering the IR image onto the FAF image by a neural network, we can directly compare OCT labels to other labels in the en face plane. We also present a U-Net inspired segmentation model to predict segmentations in unlabeled OCTs. Evaluations show that both our networks achieve high precision (0.853 Dice score and 0.913 Area under Curve). Furthermore, medical analysis performed on exemplary, chronologically arranged CSCR progressions of 12 patients visualized with our pipeline indicates that, on CSCR, two patterns emerge: subretinal fluid (SRF) in OCT preceding hyperfluorescence (HF) in FAF and vice versa.

DOI10.3390/diagnostics12081780
Short TitleDiagnostics
Erstellt am 30. August 2022 - 16:20.

Studium

Medizinische Informatik
an der Uni Lübeck studieren

Informationen für
Interessierte
u. Einsteiger

Anschrift

Institutssekretariat
Susanne Petersen

Tel+49 451 3101 5601
Fax+49 451 3101 5604


Gebäude 64 (Informatik)

Ratzeburger Allee 160
23538 Lübeck
Deutschland